A novel estimation model for hysteresis loss based on semi-minor loops. (November 2022)

• Record Type: Journal Article
• Authors: Chen, Jianyin; Ma, Jien; Wu, Siqi; Qiu, Lin; Liu, Xing; Fang, Youtong
• Is Part Of: Energy reports. Volume 8(2022)Supplement 15
• Page Start: 704
• Page End: 713
• Publication Date: 2022-11
• Subjects: Hysteresis loss -- Core loss -- Soft magnetic material -- Electrical machine; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2022.10.171
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: This paper proposes an estimation model of hysteresis loss based on the mapping of the hysteresis loop conducted through tiny material samples with the aid of the Superconducting Quantum Interference Device (SQUID). This approach allows precise measurement of hysteresis loops. The aim of this paper is to develop a precise estimation model for hysteresis loss, one component of core loss, so as to improve the overall estimation accuracy of the entire core loss under complex excitations. First, with the help of the SQUID system and measurements conducted on tiny samples, the proposed model manages to minimize the impact of eddy current throughout the measurement and the modeling of hysteresis loss. This contrasts with the use of the conventional Steinmetz model and its modifications. Moreover, compared with methods including the modified Steinmetz equation (MSE) and the generalized Steinmetz equation (GSE) which merely focuses on the overall iron loss under simple non-sinusoidal excitations, the model presented here enables the estimation of hysteresis loss under complex excitations where multiple peaks and DC-bias take place. This approach will be very useful in situations such as those requiring pulse-width modulation (PWM) excited converters which are quite common on occasions including wind power systems. The estimation error of this model on the actual coil is within 15% under given excitations.